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Feature cross: Difference between revisions
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(Created page with "===Introduction== Machine learning algorithms rely heavily on features to extract useful information from data. Feature engineering is the process of selecting and manipulating raw data to create new ones that better depict patterns and relationships present in it. One advanced feature engineering technique used is feature crossing. ==What is Feature Crossing?== Feature crossing is a technique for creating new features by combining two or more existing ones in a dataset...") |
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==Introduction== | |||
Machine learning algorithms rely heavily on features to extract useful information from data. Feature engineering is the process of selecting and manipulating raw data to create new ones that better depict patterns and relationships present in it. One advanced feature engineering technique used is feature crossing. | Machine learning algorithms rely heavily on features to extract useful information from data. Feature engineering is the process of selecting and manipulating raw data to create new ones that better depict patterns and relationships present in it. One advanced feature engineering technique used is feature crossing. | ||